About the job
Please submit your CV in English and specify your English proficiency level.
Mindrift connects talented specialists with project-based AI opportunities at leading technology companies, with a focus on testing, evaluating, and enhancing AI systems. This is a project-based opportunity, not a permanent position.
Opportunity Overview:
Each project presents unique challenges, where contributors may:
- Design innovative computational statistics problems that reflect authentic mathematical research workflows;
- Develop programming challenges that require Python solutions (utilizing libraries such as Numpy, SciPy, and Sympy);
- Create problems that demand significant computational resources, taking days or weeks to solve manually;
- Formulate problems that involve complex reasoning across fields such as number theory, combinatorics, graph theory, and numerical analysis;
- Base challenges on genuine research hurdles or practical mathematical applications;
- Verify solutions using Python alongside standard mathematical libraries;
- Clearly document problem statements and provide validated correct answers.
Qualifications We Seek:
This role is ideal for statistics experts with Python experience who are open to part-time, temporary projects. Ideal candidates will possess:
- A degree in Statistics or a related discipline;
- Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is acceptable;
- A minimum of 2 years of relevant professional experience, whether in applied, research, or teaching settings;
- Exceptional written English skills (C1 level or higher);
- Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.
Process Overview:
Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.
Project Time Expectations:
Active project phases are estimated to require approximately 10–20 hours per week, based on specific project demands. This estimate may vary and is not a guaranteed workload.
Compensation:
Contributors can earn up to $39 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that other projects on our platform may offer different pay scales based on their needs.

